McKenzie Craig R M
Department of Psychology, University of California, San Diego, 9500 Gilman Drive, MC 0109, La Jolla, CA 92093-0109, USA.
Mem Cognit. 2006 Apr;34(3):577-88. doi: 10.3758/bf03193581.
Researchers have recently pointed out that neither biased testing nor biased evaluation of hypotheses necessitates confirmation bias--defined here as systematic overconfidence in a focal hypothesis--but certain testing/evaluation combinations do. One such combination is (1) a tendency to ask about features that are either very likely or very unlikely under the focal hypothesis (extremity bias) and (2) a tendency to treat confirming and disconfirming answers as more similar in terms of their diagnosticity (or informativeness) than they really are. However, in previous research showing the second tendency, materials that are highly abstract and unfamiliar have been used. Two experiments demonstrated that using familiar materials led participants to distinguish much better between the differential diagnosticity of confirming and disconfirming answers. The conditions under which confirmation bias is a serious concern might be quite limited.
研究人员最近指出,有偏见的测试或对假设的有偏见的评估都不一定会导致确认偏差(这里定义为对焦点假设的系统性过度自信),但某些测试/评估组合确实会导致。这样一种组合是:(1)询问在焦点假设下极有可能或极不可能出现的特征的倾向(极端性偏差),以及(2)将确认性和否定性答案在诊断性(或信息性)方面视为比实际情况更相似的倾向。然而,在先前显示出第二种倾向的研究中,使用的是高度抽象和不熟悉的材料。两项实验表明,使用熟悉的材料能让参与者更好地区分确认性和否定性答案的不同诊断性。确认偏差成为严重问题的情况可能相当有限。